diff --git a/README.md b/README.md index 407a9d360b2d09b0a804cbe0b953dd421db20ac3..432a8bf356ee3ffd278688fdc72d4ad574f3d5e7 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,13 @@ license: mit ## Font Image Generation ```bash -python -m kana.write.image generate-images --font-path /path/to/font.ttf +python image.py generate ``` -- [Model Source](https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1/handwritten-japanese-recognition-0001/FP16-INT8) +## Font Source + +- [Google Font - Kiwi Maru](https://fonts.google.com/specimen/Kiwi+Maru) + +## Model Source + +- [OpenVINO Open Model Zoo - Handwritten Japanese Recognition FP16-INT8](https://storage.openvinotoolkit.org/repositories/open_model_zoo/2023.0/models_bin/1/handwritten-japanese-recognition-0001/FP16-INT8) diff --git a/app.py b/app.py new file mode 100644 index 0000000000000000000000000000000000000000..ffde78abbad4f8e389a75633b5f7db8ab71f639d --- /dev/null +++ b/app.py @@ -0,0 +1,199 @@ +import random +from copy import deepcopy +from pathlib import Path + +import gradio as gr +import numpy as np + +from utils import KanaData, Recognizer + + +class App: + def __init__( + self, + kana_data_path="data/kana-data.json", + kana_char_dir="data/images/kana-chars", + bg_image_path="data/images/bg.png", + model_xml_path="model/model.xml", + model_char_path="model/chars.txt", + default_kana="あ", + font_name="Kiwi Maru", + brush_color="#111", + brush_size=15, + ): + self.brush_color = brush_color + self.brush_size = brush_size + self.bg_image_path = bg_image_path + self.recognizer = Recognizer(model_xml_path, model_char_path) + + self.kana_data = KanaData.load(kana_data_path) + self.kana_set = {kana for kana in self.kana_data.spell if len(kana) == 1} + + self.kana_char_dir = Path(kana_char_dir) + self.kana_images = [str(p) for p in self.kana_char_dir.rglob("*")] + + self.font_name = font_name + + self.default_kana = default_kana + self.default_kana_image = str(self.kana_char_dir / f"{self.default_kana}.png") + roma = self.conv_kana_to_roma(self.default_kana) + self.default_roma = f"{self.default_kana} ({roma})" + + self.init_app() + + def init_app(self): + with self.init_blocks() as self.app: + self.init_states() + self.init_layout() + self.init_events() + self.init_storage() + + def init_blocks(self): + return gr.Blocks(title="假名手寫練習") + + def init_layout(self): + with gr.Sidebar("練習設定"): + self.init_setting_tab() + with gr.Tab("寫字練習"): + self.init_practice_tab() + + def init_states(self): + self.curr_kana = gr.State(self.default_kana) + self.curr_kana_list = gr.State(list()) + self.curr_kana_image = gr.State(self.default_kana_image) + + def init_practice_tab(self): + self.sketchpad = gr.Sketchpad( + self.default_kana_image, + type="numpy", + image_mode="RGB", + brush=gr.Brush(self.brush_size, self.brush_color), + eraser=False, + layers=False, + label="寫字板", + ) + + with gr.Row(): + self.target_txt = gr.Textbox(self.default_roma, label="練習目標") + self.result_txt = gr.Textbox(label="辨識結果") + + with gr.Row(): + self.next_btn = gr.Button("下一個字") + self.recog_btn = gr.Button("手寫辨識") + + def init_setting_tab(self): + with gr.Row(): + self.use_assist_chk = gr.Checkbox(True, label="顯示輔助字") + self.use_kana_hint_chk = gr.Checkbox(True, label="提示假名") + + def init_events(self): + recog_kwargs = gr_kwargs(self.do_recog, self.sketchpad, self.result_txt) + + next_inputs = [self.use_assist_chk, self.use_kana_hint_chk, self.curr_kana_list] + next_outputs = [self.curr_kana, self.sketchpad, self.curr_kana_image] + next_outputs += [self.target_txt, self.result_txt, self.curr_kana_list] + next_kwargs = gr_kwargs(self.get_rand_kana, next_inputs, next_outputs) + + clear_kwargs = gr_kwargs(self.clear, self.curr_kana_image, self.sketchpad) + + update_inputs = [self.curr_kana, self.use_assist_chk] + update_inputs += [self.use_kana_hint_chk, self.curr_kana_list] + update_outputs = [self.curr_kana, self.sketchpad, self.curr_kana_image] + update_outputs += [self.target_txt, self.curr_kana_list] + update_kwargs = gr_kwargs(self.update, update_inputs, update_outputs) + + self.recog_btn.click(**recog_kwargs) + self.next_btn.click(**next_kwargs) + self.sketchpad.clear(**clear_kwargs) + self.use_assist_chk.change(**update_kwargs) + self.use_kana_hint_chk.change(**update_kwargs) + + def init_storage(self): + components = [self.use_assist_chk, self.use_kana_hint_chk] + triggers = [component.change for component in components] + + default_value = [component.value for component in components] + browser_state = gr.BrowserState( + default_value, + storage_key="storage-key", + secret="secret", + ) + + self.app.load(inputs=browser_state, outputs=components)(lambda data: data) + gr.on(triggers, inputs=components, outputs=browser_state)(lambda *data: data) + + def launch_app(self): + font = gr.themes.GoogleFont(self.font_name) + text_size = gr.themes.sizes.text_lg + theme = gr.themes.Ocean(font=font, text_size=text_size) + self.app.launch(theme=theme) + + def conv_kana_to_roma(self, kana): + return self.kana_data.spell[kana][0] + + def init_kana_list(self): + curr_kana_list = deepcopy(self.kana_images) + random.shuffle(curr_kana_list) + return curr_kana_list + + def get_kana(self, kana: str, use_assist: bool, use_kana_hint: bool, kana_list: list): + kana_list = kana_list if kana_list else self.init_kana_list() + kana_image = self.kana_char_dir / f"{kana}.png" if kana else kana_list.pop() + kana = Path(kana_image).stem + + kana_image = kana_image if use_assist else self.bg_image_path + + roma = self.conv_kana_to_roma(kana) + roma = f"{kana} ({roma})" if use_kana_hint else f"{roma}" + + return kana, str(kana_image), roma, kana_list + + def parse_item(self, item): + prob = item["prob"] + char = item["char"] + return f"{char} ({self.conv_kana_to_roma(char)}): {prob:.2%}" + + def is_valid_item(self, item): + if item["prob"] < 1e-2: + return False + if item["char"] not in self.kana_set: + return False + return True + + def do_recog(self, image: dict[str, np.ndarray]): + image = image["layers"][0] + image[image == 0] = 255 + image[image != 255] = 0 + _, nbest = self.recognizer(image) + return ", ".join( + self.parse_item(item) + for items in nbest + for item in items + if self.is_valid_item(item) + ) + + def get_rand_kana(self, assist, kana, chars): + char, img, roma, chars = self.get_kana(None, assist, kana, chars) + return char, img, img, roma, None, chars + + def clear(self, curr_kana_image): + return curr_kana_image + + def update(self, kana, use_assist, use_hint, kana_list): + kana_info = self.get_kana(kana, use_assist, use_hint, kana_list) + kana, image, roma, kana_list = kana_info + return kana, image, image, roma, kana_list + + +def gr_kwargs(fn, inputs=None, outputs=None, show_progress="hidden", **kwargs): + return dict( + fn=fn, + inputs=inputs, + outputs=outputs, + show_progress=show_progress, + **kwargs, + ) + + +if __name__ == "__main__": + App().launch_app() diff --git a/data/KiwiMaru-Regular.ttf 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0000000000000000000000000000000000000000..8519407c5ea1fcfc34bea1a8b53cff7e068bb811 Binary files /dev/null and "b/data/images/kana-chars/\343\203\263.png" differ diff --git a/data/kana-data.json b/data/kana-data.json new file mode 100644 index 0000000000000000000000000000000000000000..0015061ba31334efa8723ae5d589a242596f4ebb --- /dev/null +++ b/data/kana-data.json @@ -0,0 +1,334 @@ +{ + "category": { + "seion": ["a", "ka", "sa", "ta", "na", "ha", "ma", "ya", "ra", "wa", "n"], + "dakuon": ["ga", "za", "da", "ba"], + "handakuon": ["pa"], + "youon": [ + "kya", + "sha", + "cha", + "hya", + "gya", + "ja", + "dya", + "nya", + "bya", + "pya" + ] + }, + "hiragana": { + "a": ["あ", "い", "う", "え", "お"], + "ka": ["か", "き", "く", "け", "こ"], + "sa": ["さ", "し", "す", "せ", "そ"], + "ta": ["た", "ち", "つ", "て", "と"], + "na": ["な", "に", "ぬ", "ね", "の"], + + "ha": ["は", "ひ", "ふ", "へ", "ほ"], + "ma": ["ま", "み", "む", "め", "も"], + "ya": ["や", "ゆ", "よ"], + "ra": ["ら", "り", "る", "れ", "ろ"], + "wa": ["わ", "を"], + "n": ["ん"], + + "ga": ["が", "ぎ", "ぐ", "げ", "ご"], + "za": ["ざ", "じ", "ず", "ぜ", "ぞ"], + "da": ["だ", "ぢ", "づ", "で", "ど"], + "ba": ["ば", "び", "ぶ", "べ", "ぼ"], + "pa": ["ぱ", "ぴ", "ぷ", "ぺ", "ぽ"], + + "kya": ["きゃ", "きゅ", "きょ"], + "sha": ["しゃ", "しゅ", "しょ"], + "cha": ["ちゃ", "ちゅ", "ちょ"], + "hya": ["ひゃ", "ひゅ", "ひょ"], + "gya": ["ぎゃ", "ぎゅ", "ぎょ"], + "ja": ["じゃ", "じゅ", "じょ"], + "dya": ["ぢゃ", "ぢゅ", "ぢょ"], + "nya": ["にゃ", "にゅ", "にょ"], + "bya": ["びゃ", "びゅ", "びょ"], + "pya": ["ぴゃ", "ぴゅ", "ぴょ"] + }, + "katakana": { + "a": ["ア", "イ", "ウ", "エ", "オ"], + "ka": ["カ", "キ", "ク", "ケ", "コ"], + "sa": ["サ", "シ", "ス", "セ", "ソ"], + "ta": ["タ", "チ", "ツ", "テ", "ト"], + "na": ["ナ", "ニ", "ヌ", "ネ", "ノ"], + + "ha": ["ハ", "ヒ", "フ", "ヘ", "ホ"], + "ma": ["マ", "ミ", "ム", "メ", "モ"], + "ya": ["ヤ", "ユ", "ヨ"], + "ra": ["ラ", "リ", "ル", "レ", "ロ"], + "wa": ["ワ", "ヲ"], + "n": ["ン"], + + "ga": ["ガ", "ギ", "グ", "ゲ", "ゴ"], + "za": ["ザ", "ジ", "ズ", "ゼ", "ゾ"], + "da": ["ダ", "ヂ", "ヅ", "デ", "ド"], + "ba": ["バ", "ビ", "ブ", "ベ", "ボ"], + "pa": ["パ", "ピ", "プ", "ペ", "ポ"], + + "kya": ["キャ", "キュ", "キョ"], + "gya": ["ギャ", "ギュ", "ギョ"], + "sha": ["シャ", "シュ", "ショ"], + "ja": ["ジャ", "ジュ", "ジョ"], + "cha": ["チャ", "チュ", "チョ"], + "dya": ["ヂャ", "ヂュ", "ヂョ"], + "nya": ["ニャ", "ニュ", "ニョ"], + "hya": ["ヒャ", "ヒュ", "ヒョ"], + "bya": ["ビャ", "ビュ", "ビョ"], + "pya": ["ピャ", "ピュ", "ピョ"] + }, + "spell": { + "あ": ["a"], + "い": ["i"], + "う": ["u"], + "え": ["e"], + "お": ["o"], + + "か": ["ka"], + "き": ["ki"], + "く": ["ku"], + "け": ["ke"], + "こ": ["ko"], + + "が": ["ga"], + "ぎ": ["gi"], + "ぐ": ["gu"], + "げ": ["ge"], + "ご": ["go"], + + "さ": ["sa"], + "し": ["shi"], + "す": ["su"], + "せ": ["se"], + "そ": ["so"], + + "ざ": ["za"], + "じ": ["ji"], + "ず": ["zu"], + "ぜ": ["ze"], + "ぞ": ["zo"], + + "た": ["ta"], + "ち": ["chi"], + "つ": ["tsu"], + "て": ["te"], + "と": ["to"], + + "だ": ["da"], + "ぢ": ["di", "ji"], + "づ": ["du", "zu"], + "で": ["de"], + "ど": ["do"], + + "な": ["na"], + "に": ["ni"], + "ぬ": ["nu"], + "ね": ["ne"], + "の": ["no"], + + "は": ["ha"], + "ひ": ["hi"], + "ふ": ["fu"], + "へ": ["he"], + "ほ": ["ho"], + + "ば": ["ba"], + "び": ["bi"], + "ぶ": ["bu"], + "べ": ["be"], + "ぼ": ["bo"], + + "ぱ": ["pa"], + "ぴ": ["pi"], + "ぷ": ["pu"], + "ぺ": ["pe"], + "ぽ": ["po"], + + "ま": ["ma"], + "み": ["mi"], + "む": ["mu"], + "め": ["me"], + "も": ["mo"], + + "や": ["ya"], + "ゆ": ["yu"], + "よ": ["yo"], + + "ら": ["ra"], + "り": ["ri"], + "る": ["ru"], + "れ": ["re"], + "ろ": ["ro"], + + "わ": ["wa"], + "を": ["o", "wo"], + "ん": ["n"], + + "きゃ": ["kya"], + "きゅ": ["kyu"], + "きょ": ["kyo"], + + "ぎゃ": ["gya"], + "ぎゅ": ["gyu"], + "ぎょ": ["gyo"], + + "しゃ": ["sha", "sya"], + "しゅ": ["shu", "syu"], + "しょ": ["sho", "syo"], + + "じゃ": ["ja", "jya"], + "じゅ": ["ju", "jyu"], + "じょ": ["jo", "jyo"], + + "ちゃ": ["cha", "cya"], + "ちゅ": ["chu", "cyu"], + "ちょ": ["cho", "cyo"], + + "ぢゃ": ["dya", "ja"], + "ぢゅ": ["dyu", "ju"], + "ぢょ": ["dyo", "jo"], + + "にゃ": ["nya"], + "にゅ": ["nyu"], + "にょ": ["nyo"], + + "ひゃ": ["hya"], + "ひゅ": ["hyu"], + "ひょ": ["hyo"], + + "びゃ": ["bya"], + "びゅ": ["byu"], + "びょ": ["byo"], + + "ぴゃ": ["pya"], + "ぴゅ": ["pyu"], + "ぴょ": ["pyo"], + + "ア": ["a"], + "イ": ["i"], + "ウ": ["u"], + "エ": ["e"], + "オ": ["o"], + + "カ": ["ka"], + "キ": ["ki"], + "ク": ["ku"], + "ケ": ["ke"], + "コ": ["ko"], + + "ガ": ["ga"], + "ギ": ["gi"], + "グ": ["gu"], + "ゲ": ["ge"], + "ゴ": ["go"], + + "サ": ["sa"], + "シ": ["shi"], + "ス": ["su"], + "セ": ["se"], + "ソ": ["so"], + + "ザ": ["za"], + "ジ": ["ji"], + "ズ": ["zu"], + "ゼ": ["ze"], + "ゾ": ["zo"], + + "タ": ["ta"], + "チ": ["chi"], + "ツ": ["tsu"], + "テ": ["te"], + "ト": ["to"], + + "ダ": ["da"], + "ヂ": ["di", "ji"], + "ヅ": ["du", "zu"], + "デ": ["de"], + "ド": ["do"], + + "ナ": ["na"], + "ニ": ["ni"], + "ヌ": ["nu"], + "ネ": ["ne"], + "ノ": ["no"], + + "ハ": ["ha"], + "ヒ": ["hi"], + "フ": ["fu"], + "ヘ": ["he"], + "ホ": ["ho"], + + "バ": ["ba"], + "ビ": ["bi"], + "ブ": ["bu"], + "ベ": ["be"], + "ボ": ["bo"], + + "パ": ["pa"], + "ピ": ["pi"], + "プ": ["pu"], + "ペ": ["pe"], + "ポ": ["po"], + + "マ": ["ma"], + "ミ": ["mi"], + "ム": ["mu"], + "メ": ["me"], + "モ": ["mo"], + + "ヤ": ["ya"], + "ユ": ["yu"], + "ヨ": ["yo"], + + "ラ": ["ra"], + "リ": ["ri"], + "ル": ["ru"], + "レ": ["re"], + "ロ": ["ro"], + + "ワ": ["wa"], + "ヲ": ["o", "wo"], + "ン": ["n"], + + "キャ": ["kya"], + "キュ": ["kyu"], + "キョ": ["kyo"], + + "ギャ": ["gya"], + "ギュ": ["gyu"], + "ギョ": ["gyo"], + + "シャ": ["sha"], + "シュ": ["shu"], + "ショ": ["sho"], + + "ジャ": ["ja", "jya"], + "ジュ": ["ju", "jyu"], + "ジョ": ["jo", "jyo"], + + "チャ": ["cha", "cya"], + "チュ": ["chu", "cyu"], + "チョ": ["cho", "cyo"], + + "ヂャ": ["dya", "ja"], + "ヂュ": ["dyu", "ju"], + "ヂョ": ["dyo", "jo"], + + "ニャ": ["nya"], + "ニュ": ["nyu"], + "ニョ": ["nyo"], + + "ヒャ": ["hya"], + "ヒュ": ["hyu"], + "ヒョ": ["hyo"], + + "ビャ": ["bya"], + "ビュ": ["byu"], + "ビョ": ["byo"], + + "ピャ": ["pya"], + "ピュ": ["pyu"], + "ピョ": ["pyo"] + } +} diff --git a/image.py b/image.py new file mode 100644 index 0000000000000000000000000000000000000000..4fd3395a955de685885e1c0690e821fec5fe518e --- /dev/null +++ b/image.py @@ -0,0 +1,80 @@ +from pathlib import Path + +import fire +from PIL import Image, ImageDraw, ImageFont + +from utils import KanaData + + +class FontImageGenerator: + def __init__( + self, + font_path="data/KiwiMaru-Regular.ttf", + img_size=640, + padding=100, + y_offset=-200, + font_color="#AAA", + grid_width=15, + grid_color="#EEE", + grid_split=3, + grid_bg_color="white", + kana_data_path="data/kana-data.json", + output_dir="data/images", + bg_file_name="bg.png", + char_dir_name="kana-chars", + ): + self.font_path = font_path + self.output_dir = Path(output_dir) + self.img_size = img_size + self.y_offset = y_offset + self.font_color = font_color + self.grid_width = grid_width + self.grid_color = grid_color + self.grid_split = grid_split + self.grid_bg_color = grid_bg_color + + self.kana_data = KanaData.load(kana_data_path) + self.font = ImageFont.truetype(self.font_path, img_size - padding) + + self.bg_path = self.output_dir / bg_file_name + self.char_dir = self.output_dir / char_dir_name + self.char_dir.mkdir(parents=True, exist_ok=True) + + def generate(self): + image, _ = self.create_bg() + image.save(self.bg_path) + + for kana_char in self.kana_data.spell: + if len(kana_char) == 1: + self.create_font_image(kana_char) + + def create_font_image(self, char): + image, draw = self.create_bg() + bbox = draw.textbbox((0, 0), char, font=self.font) + + w = bbox[2] - bbox[0] + h = bbox[3] - bbox[1] + + x = (self.img_size - w) / 2 + y = (self.img_size - h) / 2 + self.y_offset + + draw.text((x, y), char, font=self.font, fill=self.font_color) + image.save(self.char_dir / f"{char}.png") + + def create_bg(self): + image = Image.new("RGB", (self.img_size, self.img_size), self.grid_bg_color) + draw = ImageDraw.Draw(image) + + cell_size = self.img_size // self.grid_split + for i in range(self.grid_split): + point = (i + 1) * cell_size + ver_line = [(point, 0), (point, self.img_size)] + hor_line = [(0, point), (self.img_size, point)] + draw.line(ver_line, fill=self.grid_color, width=self.grid_width) + draw.line(hor_line, fill=self.grid_color, width=self.grid_width) + + return image, draw + + +if __name__ == "__main__": + fire.Fire(FontImageGenerator) diff --git a/model/chars.txt b/model/chars.txt new file mode 100644 index 0000000000000000000000000000000000000000..63af82249efb85a1ba8b23bb80f5ce9e7cc9aec7 --- /dev/null +++ b/model/chars.txt @@ -0,0 +1,4441 @@ +耗 +雛 +」 +輝 +郎 +棗 +寺 +行 +〕 +康 +藩 +陀 +記 +忙 +鱈 +芽 +詈 +従 +攻 +債 +戯 +欅 +俗 +郡 +垣 +畑 +次 +潮 +駐 +ｇ +晟 +寝 +砥 +熹 +壁 +齋 +ビ +溜 +蘊 +舵 +薊 +睦 +登 +屁 +堤 +咎 +潤 +栽 +草 +粘 +曰 +淌 +佳 +冤 +筌 +梱 +旺 +馴 +蓼 +鑽 +涌 +叉 +類 +挑 +羲 +設 +株 +摩 +跳 +科 +連 +覚 +伝 +逓 +枳 +桂 +迭 +鯏 +講 +繍 +蕃 +摯 +疇 +覽 +陽 +黙 +鞆 +革 +氷 +Ｘ +邊 +逸 +煎 +棒 +甑 +励 +鉋 +罷 +騫 +乢 +院 +抄 +漬 +服 +蔽 +惰 +琺 +麟 +ｐ +思 +赴 +邦 +耿 +虫 +鍵 +資 +瘁 +鵺 +岾 +煙 +筒 +紆 +褐 +モ +、 +｝ +更 +凍 +宕 +苅 +壬 +痒 +錚 +躁 +外 +舶 +羞 +諮 +薙 +橫 +∨ +秦 +倹 +篠 +ο +粒 +た +亙 +非 +腸 +樗 +鐡 +経 +ユ +諺 +杢 +歪 +讚 +叡 +倚 +漱 +曳 +偽 +猯 +臥 +珀 +捐 +鏡 +皐 +既 +勇 +寥 +癈 +黎 +栗 +北 +吟 +震 +腰 +肆 +敗 +泳 +窪 +史 +攫 +妙 +叢 +レ +諜 +搜 +檮 +秬 +箙 +各 +親 +四 +督 +響 +硲 +楊 +起 +器 +承 +乎 +寛 +蘆 +鉾 +敢 +纏 +擱 +砕 +臘 +な +淋 +わ +憶 +間 +が +洗 +落 +蟷 +収 +ｚ +魔 +輳 +彩 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'models': [ + { + 'name': 'handwritten-japanese-recognition-0001', + 'launchers': [ + { + 'framework': 'openvino', + 'adapter': 'ctc_greedy_search_decoder', + 'device': 'cpu' + } + ], + 'datasets': [ + { + 'name': 'Kondate_nakayosi', + 'data_source': 'PATH', + 'annotation_conversion': { + 'converter': 'kondate_nakayosi_recognition', + 'decoding_char_file': 'PATH', + 'annotation_file': 'PATH' + }, + 'annotation': 'PATH', + 'dataset_meta': 'PATH', + 'preprocessing': [ + { + 'type': 'bgr_to_gray' + }, + { + 'type': 'resize', + 'interpolation': 'AREA', + 'aspect_ratio_scale': 'width', + 'size': 96 + }, + { + 'type': 'padding', + 'use_numpy': true, + 'numpy_pad_mode': 'edge', + 'dst_height': 96, + 'dst_width': 2000, + 'pad_type': 'right_bottom' + } + ], + 'metrics': [ + { + 'type': 'label_level_recognition_accuracy', + 'reference': 0.9816 + } + ], + '_command_line_mapping': { + 'decoding_char_file': 'PATH', + 'annotation_file': 'PATH' + } + } + ] + } + ], + 'stat_requests_number': null, + 'eval_requests_number': null, + 'type': 'accuracy_checker' + } + } + + + + diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..7334fe38fc4f41006574651e9352d143eb0c0d2f --- /dev/null +++ b/requirements.txt @@ -0,0 +1,3 @@ +gradio +opencv-python +openvino diff --git a/utils.py b/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..a0ad022446b1d17fc42f2f07e43d518e2f960a98 --- /dev/null +++ b/utils.py @@ -0,0 +1,105 @@ +from pathlib import Path + +import cv2 +import numpy as np +from openvino import Core +from pydantic import BaseModel + + +class KanaData(BaseModel): + class Category(BaseModel): + seion: list[str] + dakuon: list[str] + handakuon: list[str] + youon: list[str] + + category: Category + hiragana: dict[str, list[str]] + katakana: dict[str, list[str]] + spell: dict[str, list[str]] + + @classmethod + def load(cls, path): + return cls.model_validate_json(Path(path).read_text()) + + +class Recognizer: + def __init__(self, model_path, char_list_path, device="CPU", blank="[blank]"): + core = Core() + self.model = core.read_model(model_path) + self.compiled_model = core.compile_model(self.model, device) + self.infer_request = self.compiled_model.create_infer_request() + + # (batch_size, channel, width, height) + _, _, self.input_height, self.input_width = self.model.inputs[0].shape + self.input_tensor_name = self.model.inputs[0].get_any_name() + self.output_tensor_name = self.model.outputs[0].get_any_name() + + with open(char_list_path, "rt", encoding="UTF-8") as fp: + self.chars = [blank] + fp.read().split("\n") + + def __call__(self, image, top_k=10): + image = self.preprocess(image, self.input_height, self.input_width)[None, :, :, :] + + for _ in range(2): + self.infer_request.infer(inputs={self.input_tensor_name: image}) + preds = self.infer_request.get_tensor(self.output_tensor_name).data[:] + + return self.ctc_decode(preds, top_k) + + def preprocess(self, image, height, width, invert=False): + src: np.ndarray = cv2.cvtColor(image, cv2.COLOR_RGBA2GRAY) + src = (255 - src) if invert else src + + ratio = float(src.shape[1]) / float(src.shape[0]) + dsize = (int(height * ratio), height) + rsz = cv2.resize(src, dsize, interpolation=cv2.INTER_AREA).astype(np.float32) + + img = rsz[None, :, :] # [h,w] -> [c,h,w] + _, h, w = img.shape + + # right edge padding + return np.pad(img, ((0, 0), (0, height - h), (0, width - w)), mode="edge") + + def ctc_decode(self, preds, top_k): + index, texts, nbest = 0, list(), list() + + preds_index: np.ndarray = np.argmax(preds, 2) + preds_index = preds_index.transpose(1, 0) + preds_index_reshape = preds_index.reshape(-1) + preds_sizes = np.array([preds_index.shape[1]] * preds_index.shape[0]) + + for step in preds_sizes: + t = preds_index_reshape[index : index + step] + + if t.shape[0] == 0: + continue + + char_list = [] + for i in range(step): + if t[i] == 0: + continue + + # removing repeated characters and blank. + if i > 0 and t[i - 1] == t[i]: + continue + + char_list.append(self.chars[t[i]]) + + # process n-best + probs = self.softmax(preds[i][0]) + k_idx = np.argsort(-probs)[:top_k] + k_probs = probs[k_idx] + k_res = [dict(prob=p, char=self.chars[j]) for j, p in zip(k_idx, k_probs)] + nbest.append(k_res) + + text = "".join(char_list) + texts.append(text) + + index += step + + return texts, nbest + + def softmax(self, x): + e_x = np.exp(x - np.max(x)) + return e_x / np.sum(e_x, axis=0)